Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Overview: Focuses on skills, projects, and AI readiness, not hypeCovers degrees, certificates, and online programmesHelps ...

MLDS associate director Stephen Dowling talks about the benefits of the program and how it prepares students to stand out when searching for jobs. Northwestern Engineering's Master of Science in ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...